Compare AI models
| Specifications | ||
ParametersThe learned values that shape how a model responds. B means billion and T means trillion. For mixture-of-experts models, the total count is larger than the number active for each token. Parameter count alone does not measure quality. | 30B | — |
Context windowHow much information the model can work with in one request, measured in tokens — pieces of words or other data. This includes your question, attachments, conversation and reply. Limits can vary by model variant and provider. | 1M | 200k |
| API pricingUSD per 1M tokens · lower wins | ||
Cheapest inputLowest input rate across every provider on OpenRouter, the lab included. The cheapest endpoint may run a quantised build or a shorter context — see "Available from" on the model page. | $0.05Novita | $1.10OpenAI |
Cheapest outputLowest output rate across every provider on OpenRouter, the lab included. May come from a different provider than the cheapest input. | $0.20Novita | $4.40OpenAI |
| $20.00Novita · fp4 | $440OpenAI | |
| These models have no shared benchmark scores. | ||
BullshitBench v2Nonsense detection — Given a confidently-worded but nonsensical prompt, does the AI spot that it makes no sense and push back — instead of playing along and inventing an answer? The score is how often it clearly called out the nonsense. Higher is better. | 28% | — |
LiveCodeBenchCompetitive coding — Coding problems published so recently the AI can't have seen them in training — a contamination-free test of raw programming skill. Higher is better. | 68.3% | — |
GPQA DiamondScience — Graduate-level science questions in biology, physics, and chemistry — hard enough that subject-matter PhDs score around 65%. Higher is better. | 73% | — |
| Overview | ||
| Company | NVIDIA | OpenAI |
| Release date | Dec 15 2025 | Apr 16 2025 |
| Access | Open Source | Closed |
| Model details | View model | View model |
Other comparisons
Nemotron 3 NanovsClaude Haiku 5.5o4-mini-highvsClaude Haiku 5.5Nemotron 3 NanovsGemini 4 Argono4-mini-highvsGemini 4 ArgonNemotron 3 NanovsMuse Spark Openo4-mini-highvsMuse Spark OpenNemotron 3 NanovsGrok 4.7o4-mini-highvsGrok 4.7Nemotron 3 NanovsDeepSeek-V4.1-Flash-1017o4-mini-highvsDeepSeek-V4.1-Flash-1017Nemotron 3 NanovsMistral Large 4o4-mini-highvsMistral Large 4Frequently asked questions
Nemotron 3 Nano and o4-mini-high don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. o4-mini-high shipped 243 days before Nemotron 3 Nano, so benchmark comparisons should account for the intervening progress.
Context windows are 1M (Nemotron 3 Nano) vs 200k (o4-mini-high). Nemotron 3 Nano is open source, while o4-mini-high is closed.
Direct benchmark comparisons are unavailable — Nemotron 3 Nano and o4-mini-high don't publish scores on any of the same benchmarks.